Genome-wide association studies (GWAS) have identified numerous single nucleotide polymorphisms (SNPs) associated with various traits and diseases, yet understanding the functional consequences of these variants remains challenging. We have chosen a set of 18 loci associated with cholesterol traits (LDL-C and HDL-C) in a recent trans-ancestry GWAS (Graham et al 2021, Nature, GLGC consortium). Genes within these loci have coding burden for these same traits and/or are known monogenic disease genes, and importantly, targeting these genes gives robust phenotypes in CRISPR screens using cholesterol-related phenotypic assays. We have used human genetic evidence to select ~2,500 variants within these 18 loci to evaluate, including variants with strong GWAS evidence and variants with strong evidence as liver eQTLs through fine-mapping and/or linkage to sentinel variants.
This protocol describes pooled LDL uptake screen using CRISPR base editing screening to install all variants in a human hepatocyte cell line, with the goal of gaining insight into causal variants and genes at the selected 18 loci.